Programming

Implementing methods such as Word2Vec and GloVe for measuring document similarity.

Implementing text classification using various information retrieval methods, analyzing, comprehending, and comparing the techniques used.

Implementing text preprocessing operations such as case conversion, tokenization, stop word removal, stemming, lemmatization, and POS tagging using NLTK. Additionally, understanding the difference between stemming and lemmatization, and counting word frequencies.

Implementing Decision Trees for classification and regression tasks

Implementing the K-Means algorithm for data clustering tasks

Applying morphological operations for noise removal in fingerprint images

Image Morphological Operations

Implementing the Naïve Bayes algorithm for classification using Python

Image Edge Detection using Sobel Operator and Averaging Filter!

Experimenting with DFT, IDFT and matrices!